Data Analyst - Process Development Scientist
Flexible & Integrated Technical Services Ver todas las vacantes
- Juncos, PR
- Permanente
- Tiempo completo
- Bachelor's Degree in Life Sciences or Engineering (statistics, mathematics, systems engineering, industrial engineering, computer science, or related field experience) with four (4) years of experience in a Scientist within the pharmaceutical or regulated industry.
- Bilingual (English & Spanish).
- Project Management skills.
- Shift: Administrative, and according to business needs.
- Experience in:
- Statistical data analysis such as linear models, multivariate analysis, and stochastic models.
- Articulating business questions and using mathematical techniques to arrive at an answer using available data.
- Data system knowledge – OSIsoft PI / Spotfire/ OVDAS
- Picture yourself in a lab… with all the equipment you need to put your multitasking, scientific, creative (to come up with all those experiments!) skills to work. Picture as well an environment of healthy competition, teamwork, being ethical and of using the scientific method in all ways possible. If you like how this sounds, then this might be the job for you. Bring it on!
- Conceives and designs, executes or evaluates, and interprets experimental strategies.
- Provides input to new processes to generate robust and reliable data.
- Ensures that studies are conducted in compliance with the respective protocol and applicable guidelines and regulations.
- Designs, monitors or conducts experimental strategies with general guidance from supervisor.
- Provides data analysis and interpretation, and assesses impact of the data on the project.
- Keeps current in field of scientific expertise and areas relevant to their function.
- Monitors field of expertise, including literature and technology development, and communicates relevant observations.
- May introduce advanced scientific methods.
- Develops and implements new and novel protocols to address specific issues.
- May represent the department on project teams under supervision of a senior scientific staff member.
- May initiate productive collaborations within and outside of the department or company.
- Advises or assists others in experimental design and/or interpretation/diagnosis of data and implementing innovative remedies.